Internship Data Scientist - IBM

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

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Your Role and Responsibilities
Data Science Projects

• Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions
• Work on data analysis, machine learning, and AI projects to drive business outcomes
• Develop and deploy models using various machine learning algorithms and techniques
• Interpret results, provide insights, and communicate findings to stakeholders

Data Analysis and Visualization

• Collect, process, and analyze large datasets
• Develop data visualizations to communicate insights and findings
• Use statistical and data analysis techniques to identify trends and patterns

Collaboration and Communication

• Work closely with data engineers, software developers, and product managers to integrate data science solutions
• Communicate complex technical concepts to non-technical stakeholders
• Collaborate with team members to share knowledge, best practices and ideas

Required Technical and Professional Expertise
Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

Skills

• Strong programming skills in Python, R, or SQL
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Familiarity with data analysis and visualization tools such as Tableau, Power BI, or D3.js
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• Professional level English, additional languages such as German nice to have

Experience

• Previous experience in data science, machine learning, or a related field is a plus
• Experience with cloud-based platforms such as IBM Cloud, AWS, or GCP is a plus